基于频域滤波的鲁棒语音识别系统

N. Hayasaka, N. Wada, S. Yoshizawa, Y. Miyanaga
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引用次数: 9

摘要

本文介绍了一种鲁棒语音识别系统的FRM方法。我们已经开发了用于鲁棒语音识别的智能过滤技术。该方法采用传统的FIR带通滤波器对语音运行功率谱进行滤波。为了提高识别精度,设计的FIR滤波器大大提高了高阶性。利用FRM滤波器,我们可以开发出一种新的鲁棒语音识别,它的识别能力足够高,并且可以降低滤波阶数。本文利用该滤波器进行了语音识别实验。
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A robust speech recognition system using FRM running spectrum filtering
This report introduces a new approach of FRM technique for a robust speech recognition system. We have already developed intelligent filtering techniques for robust speech recognition. In this method, a conventional FIR band-pass filter is applied on speech running power spectrum. In order to improve recognition accuracy, the designed FIR filter becomes high order considerably. Using a FRM filter, we can develop a new robust speech recognition whose recognition ability is high enough and whose filtering order can be reduced. Using this new FRM filter, some speech recognition experiments are shown in this report.
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